The research paper overviews the comparative study of statistics-based landslide susceptibility models. Landslide susceptibility maps using GIS-based statistical models at the regional level in central Nepal were developed in the study. The study area included the districts affected by landslides after the Gorkha earthquake and its aftershocks. The 23,439 landslide locations obtained from high-resolution satellite imagery to evaluate the differences in landslide susceptibility using analytical hierarchy process (AHP), frequency ratio (FR), and hybrid spatial multi-criteria evaluation (SMCE) models were used along with the integration of the AHP and FR models as the theoretical background of the spatial multi-criteria evaluation (SMCE) model in this study.
Case Studies, Report
International Journal of Geo-Information
2019